Top Hybrid Machine Learning Engineer Jobs

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

Lead the development and implementation of machine learning models for mortgage risk assessments, ensuring compliance and operational integration.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As an AI & ML Engineering Intern, you'll design and build internal AI-powered tools, automate workflows, and contribute to shared AI infrastructure, with a focus on LLMs and machine learning frameworks.

The Senior Data & AI Engineer will develop and optimize data engineering and AI/ML solutions, collaborating with teams to modernize data systems and support risk management initiatives.

Develop and maintain machine learning models for user safety, design scalable systems, and collaborate on AI solutions while ensuring fairness. Requires strong programming and domain expertise in ML technologies.

The Machine Learning Engineer will apply machine learning techniques to improve advanced MIMO radios' performance, analyze RF datasets, collaborate on ML use cases, and stay updated on ML research.

Assist in developing and executing a reinforcement learning project for humanoid robots, bridging simulation with reality while collaborating with engineers.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.